About
Michele Bernardini is a Research Fellow at the Department of Information Engineering, Polytechnic University of Marche. His research focuses on Machine Learning and Healthcare Data, with applications in predictive medicine, electronic health records (EHR), and clinical decision support systems. He holds an M.Sc. in Electronic Engineering (Bioengineering) from the same university (2016), and has been pursuing a Ph.D. under Prof. Emanuele Frontoni since 2017.
Education:
- M.Sc. in Electronic Engineering – Bioengineering, Polytechnic University of Marche (2016)
- Ph.D. Candidate in Information Engineering, Polytechnic University of Marche (since 2017)
Research Interests: Machine Learning applications in healthcare, predictive modeling of diabetes complications, EHR data analysis, risk stratification, and clinical decision support systems. His work emphasizes collaborations like the Université Libre de Bruxelles for soft tissue material characterization.
Publications & Grants: Bernardini’s recent work includes predictive models for diabetic complications, missing data imputation in EHR using GANs, and a Microsoft AI for Health grant (2020) for pandemic-related diagnostics. His research spans healthcare analytics, smart homes, and industry 4.0 applications.
Awards:
- Microsoft Grant Award: AI for Health Grants (2020)
Labs & Teams: Involved in interdisciplinary research teams at the Department of Information Engineering, focusing on bioengineering, healthcare informatics, and machine learning systems.
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